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Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities
| Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities |
| Autore | Li Tiancheng |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (266 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
clustering
data fusion target detection Grey Wolf Optimizer Fireworks Algorithm hybrid algorithm exploitation and exploration GNSS MIMU odometer state constraints simultaneous localization and mapping (SLAM) range-only SLAM sum of Gaussian (SoG) filter cooperative approach automatic fare collection system passenger flow forecasting time series decomposition singular spectrum analysis ensemble learning extreme learning machine wheeled mobile robot path panning laser simulator fuzzy logic laser range finder Wi-Fi camera sensor fusion local map odometry deep learning softmax decision-making classification sensor data Internet of Things extended target tracking gamma-Gaussian-inverse Wishart Poisson multi-Bernoulli mixture 5G IoT indoor positioning tracking localization navigation positioning accuracy single access point positioning fuzzy inference calibration car-following Takagi–Sugeno Kalman filter microscopic traffic model continuous-time model LoRa positioning LoRaWAN TDoA map matching compass automotive LFMCW radar radial velocity lateral velocity Doppler-frequency estimation waveform signal model tensor modeling smart community system power efficiency object-detection coprocessor histogram of oriented gradient support vector machine block-level once sliding detection window multi-shape detection-window |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557384803321 |
Li Tiancheng
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Hydro-Meteorology
| Remote Sensing of Hydro-Meteorology |
| Autore | Lee Joo-Heon |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (154 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
spatial downscaling
MODIS chlorophyll-a sentinel-2A MSI multiple polynomial regression genetic programming rainfall variability Indian Ocean Dipole (IOD) El Niño–Southern Oscillation (ENSO) intentional statistical simulation satellite-based precipitation hydrological modeling error propagation monsoon-climate watershed typhoon-induced rainfall prediction statistical model fuzzy C-means clustering China remote sensing integrated drought monitoring meteorological drought hydrological drought agricultural drought Bayesian principal component analysis (BPCA) statistical simulation extreme precipitation index PERSIANN-CDR KGE linear trend Huai River Basin Indian Ocean Dipole mode El Niño–Southern Oscillation singular spectrum analysis mutual information non-stationarity of seasonal precipitation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566458603321 |
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Lee Joo-Heon
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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